/**
 * Copyright 2021 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef UNET_SEGMENTATION_H
#define UNET_SEGMENTATION_H

#include <memory>
#include <vector>
#include <string>

#include <opencv2/opencv.hpp>

#include "MxBase/ModelInfer/ModelInferenceProcessor.h"
#include "MxBase/PostProcessBases/PostProcessDataType.h"
#include "MxBase/Tensor/TensorContext/TensorContext.h"

struct InitParam {
    uint32_t deviceId;
    std::string labelPath;
    std::string modelPath;
    uint32_t classNum;
    uint32_t modelType;
};

class HRNetW48Seg {
public:
    APP_ERROR Init(const InitParam& initParam);
    APP_ERROR DeInit();
    APP_ERROR ReadImage(const std::string& imgPath, cv::Mat& imageMat);
    APP_ERROR CVMatToTensorBase(const cv::Mat& imageMat, MxBase::TensorBase& tensorBase);
    APP_ERROR Inference(const std::vector<MxBase::TensorBase>& inputs, std::vector<MxBase::TensorBase>& outputs);
    APP_ERROR Process(const std::string& imgPath);
    APP_ERROR PostProcess(std::vector<MxBase::TensorBase>& inputs, const MxBase::ResizedImageInfo& resizedInfo,
        cv::Mat& output);
    void SaveResultToImage(const cv::Mat& classMat, const std::string& filePath);

private:
    std::shared_ptr<MxBase::ModelInferenceProcessor> model_;
    MxBase::ModelDesc modelDesc_;
    uint32_t deviceId_ = 0;
};

#endif
